HiAGM:用于层次文本分类的层次感知全局模型

[{"title":"（ 46 个子文件 251KB ） HiAGM:用于层次文本分类的层次感知全局模型","children":[{"title":"HiAGM-master","children":[{"title":"data","children":[{"title":"preprocess_nyt.py <span style='color:#111;'> 5.49KB </span>","children":null,"spread":false},{"title":"nyt_label.vocab <span style='color:#111;'> 7.05KB </span>","children":null,"spread":false},{"title":"sample_rcv1.taxonomy <span style='color:#111;'> 250B </span>","children":null,"spread":false},{"title":"rcv1_test.json <span style='color:#111;'> 18.21KB </span>","children":null,"spread":false},{"title":"rcv1_train.json <span style='color:#111;'> 20.34KB </span>","children":null,"spread":false},{"title":"rcv1.taxonomy <span style='color:#111;'> 582B </span>","children":null,"spread":false},{"title":"rcv1_prob.json <span style='color:#111;'> 900B </span>","children":null,"spread":false},{"title":"nyt.taxonomy <span style='color:#111;'> 8.59KB </span>","children":null,"spread":false},{"title":"rcv1_overall_corpus_train_prob.json <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false},{"title":"idnewnyt_train.json <span style='color:#111;'> 569.95KB </span>","children":null,"spread":false},{"title":"idnewnyt_test.json <span style='color:#111;'> 178.03KB </span>","children":null,"spread":false},{"title":"preprocess_wos.py <span style='color:#111;'> 10.72KB </span>","children":null,"spread":false},{"title":"rcv1_val.json <span style='color:#111;'> 13.03KB </span>","children":null,"spread":false},{"title":"idnewnyt_val.json <span style='color:#111;'> 142.43KB </span>","children":null,"spread":false}],"spread":false},{"title":"train_modules","children":[{"title":"trainer.py <span style='color:#111;'> 4.54KB </span>","children":null,"spread":false},{"title":"criterions.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"evaluation_metrics.py <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"models","children":[{"title":"multi_label_attention.py <span style='color:#111;'> 3.47KB </span>","children":null,"spread":false},{"title":"text_feature_propagation.py <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"text_encoder.py <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false},{"title":"origin.py <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"embedding_layer.py <span style='color:#111;'> 4.97KB </span>","children":null,"spread":false},{"title":"structure_model","children":[{"title":"weighted_tree_lstm.py <span style='color:#111;'> 10.14KB </span>","children":null,"spread":false},{"title":"graphcnn.py <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"structure_encoder.py <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false},{"title":"tree.py <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"model.py <span style='color:#111;'> 4.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"helper","children":[{"title":"configure.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"hierarchy_tree_statistic.py <span style='color:#111;'> 9.45KB </span>","children":null,"spread":false},{"title":"logger.py <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"config","children":[{"title":"rcv1-v2.json <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"tree-rcv1-v2.json <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"gcn-rcv1-v2-cpu.json <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"gcn-rcv1-v2.json <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"gcnla-rcv1-v2.json <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"treela-rcv1-v2.json <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false}],"spread":true},{"title":"evaluate.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"data_modules","children":[{"title":"data_loader.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"collator.py <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'> 4.59KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":"vocab.py <span style='color:#111;'> 6.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"train.py <span style='color:#111;'> 7.12KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]